Multi-objective optimization of GENIE earth system models
Multi-objective optimization of GENIE earth system models
The tuning of parameters in climate models is essential to provide reliable long-term forecasts of Earth system behaviour. We apply a multi-objective optimization algorithm to the problem of parameter estimation in climate models. This optimization process involves the iterative evaluation of response surface models (RSMs), followed by the execution of multiple Earth system simulations. These computations require an infrastructure that provides high-performance computing for building and searching the RSMs and high-throughput computing for the concurrent evaluation of a large number of models. Grid computing technology is therefore essential to make this algorithm practical for members of the GENIE project.
Multi-Objective Optimization, High Performance Computing, High Throughput Computing, Grid Computing
2623-2633
Price, Andrew R.
b020e5b3-c608-4377-af0b-f97cd7ff64dd
Myerscough, Richard J.
df526e43-fdcf-4081-9de4-d19e999b8af9
Voutchkov, Ivan I.
16640210-6d07-49cc-aebd-28bf89c7ac27
Marsh, Robert
702c2e7e-ac19-4019-abd9-a8614ab27717
Cox, Simon J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
13 July 2009
Price, Andrew R.
b020e5b3-c608-4377-af0b-f97cd7ff64dd
Myerscough, Richard J.
df526e43-fdcf-4081-9de4-d19e999b8af9
Voutchkov, Ivan I.
16640210-6d07-49cc-aebd-28bf89c7ac27
Marsh, Robert
702c2e7e-ac19-4019-abd9-a8614ab27717
Cox, Simon J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
Price, Andrew R., Myerscough, Richard J., Voutchkov, Ivan I., Marsh, Robert and Cox, Simon J.
(2009)
Multi-objective optimization of GENIE earth system models.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 367 (1898), .
(doi:10.1098/rsta.2009.0039).
Abstract
The tuning of parameters in climate models is essential to provide reliable long-term forecasts of Earth system behaviour. We apply a multi-objective optimization algorithm to the problem of parameter estimation in climate models. This optimization process involves the iterative evaluation of response surface models (RSMs), followed by the execution of multiple Earth system simulations. These computations require an infrastructure that provides high-performance computing for building and searching the RSMs and high-throughput computing for the concurrent evaluation of a large number of models. Grid computing technology is therefore essential to make this algorithm practical for members of the GENIE project.
Text
RSTA-2009-0039.pdf
- Accepted Manuscript
More information
Published date: 13 July 2009
Keywords:
Multi-Objective Optimization, High Performance Computing, High Throughput Computing, Grid Computing
Organisations:
Ocean and Earth Science, Computational Engineering and Design
Identifiers
Local EPrints ID: 65094
URI: http://eprints.soton.ac.uk/id/eprint/65094
ISSN: 1364-503X
PURE UUID: ead1f1e8-9c58-4890-a458-67f0f1e624c3
Catalogue record
Date deposited: 02 Feb 2009
Last modified: 22 Jul 2022 21:21
Export record
Altmetrics
Contributors
Author:
Andrew R. Price
Author:
Richard J. Myerscough
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics